Co-op Assistant Software Engineer

Huawei Technologies Canada Co., Ltd.; Markham; On-site; CAD 40,000 - 60,000; Full time

Job summary

Huawei Technologies Canada Co., Ltd. is seeking an Assistant Software Engineer for a co-op opportunity. The role involves analyzing source code, implementing features on mobile apps, and deploying AI models. Ideal candidates are enrolled in relevant BS or MS programs and have programming skills in C/C++, Python, or Java. Strong collaboration and communication skills are essential.

Qualifications

• Knowledge of Machine Learning.
• Knowledge of mobile development (Android and iOS) is an asset.

Responsibilities

• Analyze and refactor source code from research prototypes.
• Implement and test new features on Android or HarmonyOS demo apps.
• Deploy AI models onto Huawei mobile devices.

Skills

Collaboration

Communication

Documentation

Organization

Education

BS or MS in Computer Science

BS or MS in Electrical Engineering

BS or MS in Computer Engineering

BS or MS in Software Engineering

BS or MS in Telecommunications

Tools

C/C++

Python

Java

Job description

Huawei Canada Co-op Opportunity: Assistant Software Engineer

Duration: 8-16 months

About the Team:

Founded in 2012, Noah’s Ark Lab has become a prominent research organization with achievements in academia and industry. The lab focuses on advancing artificial intelligence and related fields to benefit society and the company. Its long-term projects aim to enhance research and integrate innovations into Huawei's products, including LLMs, RL, NLP, computer vision, AI theory, and autonomous driving.

About the Job:

• Analyze and refactor source code from research prototypes.
• Implement and test new features on Android or HarmonyOS demo apps.
• Deploy AI models and research outcomes onto Huawei mobile devices.
• Collaborate with cross-functional teams to integrate research into Huawei’s mobile systems.

Ideal Candidate:

• Enrolled in a BS or MS program in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, or Telecommunications.
• Proficient in at least one programming language: C/C++, Python, Java.
• Knowledge of Machine Learning.
• Strong team player with excellent collaboration and communication skills.
• Good documentation and organization skills.
• Knowledge of mobile development (Android and iOS) is an asset.